Markus Bachmayr
Impact in
- Computational Mathematics top 1%
- Tensor decomposition and applications
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- Probabilistic and Robust Engineering Design
Papers in
-
- Sparse and Compressive Sensing Techniques 7
- Advanced Numerical Methods in Computational Mathematics 5
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- Matrix Theory and Algorithms 5
- Advanced Mathematical Modeling in Engineering 3
- Co-authors
- Reinhold Schneider (3 shared papers)Wolfgang Dahmen (5 shared papers)André Uschmajew (1 shared paper)Albert Cohen (2 shared papers)Martin Burger (1 shared paper)Christoph Ortner (2 shared papers)Cas van der Oord (1 shared paper)Ralf Drautz (1 shared paper)
- Journals
- SIAM Journal on Numerical Analysis (4 papers)Foundations of Computational Mathematics (2 papers)IMA Journal of Numerical Analysis (2 papers)Mathematics of Computation (2 papers)Numerische Mathematik (1 paper)
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
Markus Bachmayr
21 papers receiving 342 citations
Peers
Comparison fields: 5 of 56
- Computational Mathematics 94
- Statistics, Probability and Uncertainty 58
- Statistical and Nonlinear Physics 98
- Numerical Analysis 37
- Computational Theory and Mathematics 91
Countries citing papers authored by Markus Bachmayr
This map shows the geographic impact of Markus Bachmayr's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Bachmayr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Bachmayr more than expected).
Fields of papers citing papers by Markus Bachmayr
This network shows the impact of papers produced by Markus Bachmayr. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Bachmayr. The network helps show where Markus Bachmayr may publish in the future.
Co-authors
The 16 scholars most cited alongside Markus Bachmayr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 99 | |
| 2 | 2016 | 68 | |
| 3 | 2009 | 36 | |
| 4 | 2016 | 32 | |
| 5 | 2017 | 19 | |
| 6 | 2017 | 17 | |
| 7 | 2013 | 15 | |
| 8 | 2023 | 12 | |
| 9 | 2016 | 12 | |
| 10 | 2016 | 12 | |
| 11 | 2015 | 9 | |
| 12 | 2014 | 7 | |
| 13 | Adaptive low rank wavelet methods and applications to two-electron Schrödinger equations | 2012 | 6 |
| 14 | 2023 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2012 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 1 |
About Markus Bachmayr
Markus Bachmayr is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Computational Mathematics, Computer Vision and Pattern Recognition and Statistics, Probability and Uncertainty, having authored 23 papers that have together received 360 indexed citations. Recurring topics across this work include Tensor decomposition and applications (7 papers), Sparse and Compressive Sensing Techniques (7 papers), Image and Signal Denoising Methods (6 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Matrix Theory and Algorithms (5 papers), Probabilistic and Robust Engineering Design (4 papers), Advanced Mathematical Modeling in Engineering (3 papers) and Mathematical Approximation and Integration (2 papers). The work is most often cited by research in Computational Mathematics (94 citations), Statistics, Probability and Uncertainty (58 citations), Statistical and Nonlinear Physics (98 citations), Numerical Analysis (37 citations) and Computational Theory and Mathematics (91 citations). Markus Bachmayr has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Reinhold Schneider, Wolfgang Dahmen, André Uschmajew, Albert Cohen, Martin Burger, Christoph Ortner, Cas van der Oord, Ralf Drautz, Ðinh Dũng and C. Schwab. Their work appears in journals such as SIAM Journal on Numerical Analysis, Foundations of Computational Mathematics, IMA Journal of Numerical Analysis, Mathematics of Computation and Numerische Mathematik.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.